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Shanghai AI Lab open-sources Intern-Decision models

By PulseAugur Editorial · [1 sources] ·

Shanghai Artificial Intelligence Laboratory has released Intern-Decision, a new family of small decision-making AI models. These models are available in 0.8 billion, 2 billion, and 4 billion parameter sizes. Unlike typical language models, Intern-Decision models provide choices, scores, and probability-based yes/no answers. AI

IMPACT Provides new, smaller models for decision-making tasks, potentially enabling wider adoption in resource-constrained environments.

RANK_REASON Release of open-source models from a research lab. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Shanghai AI Lab open-sources Intern-Decision models

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14 / 100
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Release of open-source models from a research lab. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Shanghai AI Lab has open-sourced Intern-Decision, a family of small decision-making models available in 0.8B, 2B and 4B sizes. Unlike traditional language model

    Shanghai AI Lab has open-sourced Intern-Decision, a family of small decision-making models available in 0.8B, 2B and 4B sizes. Unlike traditional language models, these return choices, scores and yes/no answers with probabilities. MetaX shipped Day-0 support for the models. https…

    LINKS pandaily.com/shanghai-ai-lab-intern-decis…

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